Evidence map›Paper›PMID 24650720›Full record

SynthesisThe Journal of hospital infection2014

Spatial and temporal analyses to investigate infectious disease transmission within healthcare settings.

G S Davis, N Sevdalis, L N Drumright

Abstract readSystematic Review
In one paragraph

Synthesis in The Journal of hospital infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Transmission visualizations of healthcare infection clusters: A scoping review.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2022
    Article
  4. Article
  5. Article
  6. Novel Visualization ofACI open · 2019
    Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

G S DavisNational Centre for Infection Prevention and Management, Division of Infectious Diseases, Section of Infectious Diseases and Immunity, Department of Medicine, Imperial College London, London, UK. Electronic address: g.davis10@imperial.ac.uk.
N SevdalisCentre for Patient Safety and Service Quality, Department of Surgery and Cancer, Imperial College London, London, UK.
L N DrumrightNational Centre for Infection Prevention and Management, Division of Infectious Diseases, Section of Infectious Diseases and Immunity, Department of Medicine, Imperial College London, London, UK.

Funding

Department of Health CDF-2011-04-017Medical Research Council G0800777
6 · The paper itself

Abstract

backgroundHealthcare-associated infections (HCAIs) cause significant morbidity and mortality worldwide, and outbreaks are often only identified after they reach high levels. A wide range of data is collected within healthcare settings; however, the extent to which this information is used to understand HCAI dynamics has not been quantified.

aimTo examine the use of spatiotemporal analyses to identify and prevent HCAI transmission in healthcare settings, and to provide recommendations for expanding the use of these techniques.

methodsA systematic review of the literature was undertaken, focusing on spatiotemporal examination of infectious diseases in healthcare settings. Abstracts and full-text articles were reviewed independently by two authors to determine inclusion.

findingsIn total, 146 studies met the inclusion criteria. There was considerable variation in the use of data, with surprisingly few studies (N = 22) using spatiotemporal-specific analyses to extend knowledge of HCAI transmission dynamics. The remaining 124 studies were descriptive. A modest increase in the application of statistical analyses has occurred in recent years.

conclusionThe incorporation of spatiotemporal analysis has been limited in healthcare settings, with only 15% of studies including any such analysis. Analytical studies provided greater data on transmission dynamics and effective control interventions than studies without spatiotemporal analyses. This indicates the need for greater integration of spatiotemporal techniques into HCAI investigations, as even simple analyses provide significant improvements in the understanding of prevention over simple descriptive summaries.

Indexed as

Disease Transmission, InfectiousHealth FacilitiesSpatio-Temporal AnalysisCross InfectionHumansAnalysisGeographic information systemsHealthcare-associated infectionHospitalInfectionSpatiotemporal analysis

Identifiers

PMID24650720
PMCPMC7133762

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.